Update README

README.md

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 **TerraMesh** merges data from **Sentinel‑1 SAR, Sentinel‑2 optical, Copernicus DEM, NDVI and land‑cover** sources into more than **9 million co‑registered patches** ready for large‑scale representation learning. Compared with earlier public corpora it offers **>20×** more pixel values and truly global, multi‑season coverage.
 
-** Dataset release – End of June. **
+**Dataset release – End of June.**
+
+![Examples from TerraMesh](assets%2Fexamples.png)
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+Samples from the TerraMesh dataset with seven spatiotemporal aligned modalities. Sentinel-2 L2A uses IRRG pseudo-coloring and Sentinel-1 RTC is visualized in db scale as VH-VV-VV/VH. Copernicus DEM is scaled based on the image value range with an additional 10 meter buffer to highlight flat scenes.
 
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@@ -36,9 +40,7 @@ The archive ships two top‑level splits `train/` and `val/`, each holding one f
 
 ## Global coverage & class distribution
 
-![one_degree_map.png](assets%2Fone_degree_map.png "Title" =20%x) ![timestamps.png](assets%2Ftimestamps.png "Title 2" =20%x)
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-Solarized dark             |  Solarized Ocean
+Heat map of the sample count in a one-degree grid. |  Monthly distribution of all S-2 timestamps.
 :-------------------------:|:-------------------------:
 ![one_degree_map.png](assets%2Fone_degree_map.png) | ![timestamps.png](assets%2Ftimestamps.png)